Remote Python AI Engineer - 17852

Role Overview :

Turing is seeking experienced Python developers to partner with a leading AI research lab in building high-quality datasets and evaluation pipelines that improve next-generation large language models.

In this role, your Python expertise will directly influence how AI models understand and generate code. You’ll design and implement solutions, analyze model outputs, and shape evaluation strategies that determine how AI performs on real-world coding tasks.

This is a fully remote, highly flexible engagement — work from anywhere, on your own schedule — while earning a competitive up to $100 / hr. It’s a rare opportunity to apply your Python skills to cutting-edge AI research with global impact.

What You’ll Do :

Write clean, efficient Python code to generate datasets and implement solutions from prompts.

Run model evals, analyze results, and document clear rationales.

Compare and rank LLM outputs; propose improved responses and prompts.

Collaborate with AI researchers and developers to refine evaluation strategies and tooling.

What We’re Looking For :

3+ years professional Python with strong coding, testing, and debugging skills.

Comfort with async programming, performance optimization, and refactoring best practices.

Familiar with Python’s ecosystem (packaging, tooling, linters, formatters).

Excellent problem-solving and English communication.

Why You'll Love This Role :

Remote & Flexible → Work from anywhere, on your schedule

Great Pay → Up to $100 / hr.

Career Edge → Build experience at the intersection of Python and AI.

High-Impact Work → Your code directly shapes frontier AI models.

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways : first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.